I am a postdoctoral associate in the Computational Intelligence and Modeling Group (A-1) and the Advanced Network Science Initiative (ANSI) at Los Alamos National Laboratory, supervised by Dr. David Fobes and Dr. Manuel Garcia. I received my BS in Mathematics from Macaulay Honors College, City University of New York, College of Staten Island, and my MS and PhD from the University of Arizona's Graduate Interdisciplinary Program in Applied Mathematics, where I was advised by Dr. Michael (Misha) Chertkov. My current research focus is on optimization and control of power systems under uncertainty, ensuring that grid operations are resilient and robust to extreme events. I frequently employ machine learning and artificial intelligence tools in my work, and I am also interested in the mathematical and statistical physics foundations of AI.
Contact me: The best way to contact me is by email to rlferrando@gmail.com.
LinkedIn: I invite you to connect with me on LinkedIn.
Disclaimer: Any opinions expressed on this website, including its sub-pages, are my own, and do not represent those of Los Alamos National Laboratory or Triad National Security, LLC.
I will present a poster on "Emergency Maximal Load Delivery in Integrated Transmission and Distribution Networks" at the inaugural PowerUp conference in Boulder, CO on September 9, 2026. I am grateful to the organizers for their support of early-career researchers in power systems.
I will give an invited seminar for the Ralph O'Connor Sustainable Energy Institute at Johns Hopkins University on September 16, 2026. Thank you to Prof. Yury Dvorkin for the invitation.
I am on the organizing committee for the 7th Grid Science Winter School and Conference at LANL. Students and postdocs are encouraged to apply for a scholarship to present a poster by October 9, 2026.